Bci2000 Compilated For Mac

This practical guide to successful Brain-Computer Interface (BCI) experiments, uses the general-purpose software platform BCI2000. It provides comprehensive introductory and intermediate concepts of all relevant aspects pertaining to common BCI experiments. Opening with a general introduction to the principles of BCI operation.

This section describes some experimental stuff, so there are chances that something doesn't work as expected. Feel free to create new issues, we'll try to figure it out.

Currently OpenCV works with STM32F746GDISCOVERY and STM32F769IDISCOVERY.

Following examples describe how to run example Canny filter to detect edges (source code is platform/opencv/cmds/edges.cpp in Embox).

STM32F769IDISCOVERY

This board has enough flash memory for OpenCV, so it's pretty easy to run a simple example:

Compile this template (it requires a few minutes as it builds libstdc++ and opencv from source)

Load Embox with openocd (more details on another wiki page)
Run edges 20 on Embox console

STM32F746GDISCOVERY

This board has only 1MiB flash memory, so it's a little bit more compilated. OpenCV requires too much read-only memory (it's mostly code), so you have to use QSPI flash to run it.

Brief instruction:

Compile this template:

Extract readonly sections from ELF

Now load tmp.bin to QSPI memory. Refer to https://github.com/embox/embox/wiki/STM32F7DISCOVERY#loading-files-to-qspi for more details
Use goto command, jump to target memory address. Target address is a second 32-bit word of the binary image (you can find it out with mem -a 0x90000004).
Run edges 20 on Embox console

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